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NHL Trends SDB Home    NHL Trends    NHL Query
Include trends from SDB's sample ml against SDB's sample ml on SDB's sample ou against SDB's sample ou on SDB's sample su active on filter on
Trends from SDB's sample ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI wins losses % link
1300 36.1 9 20 31.0 The Predators are 9-20-7 AGAINST since Mar 11, 2017
920 51.1 4 12 25.0 The Predators are 4-12-2 AGAINST since Mar 20, 2017 as a favorite
910 53.5 3 11 21.4 The Predators are 3-11-3 AGAINST since Mar 20, 2017 at home
910 56.9 3 11 21.4 The Predators are 3-11-2 AGAINST since Mar 20, 2017 as a home favorite
590 31.1 4 9 30.8 The Predators are 4-9-6 AGAINST since Mar 02, 2017 as a dog
590 32.8 4 9 30.8 The Predators are 4-9-5 AGAINST since Mar 02, 2017 as a road dog
500 23.8 6 10 37.5 The Predators are 6-10-5 AGAINST since Mar 02, 2017 on the road
610 33.9 11 6 64.7 The Predators are 11-6-1 ON since Mar 05, 2016 as a road favorite

Trend Parameters: active, english, invested, losses, margin, profit, pushes, sdql, start, team, wins


How To Use the Trends Page:
Use the Pythonic Query Language to explore a database of trends. The full PyQL format is: parameters @ conditions. More typical use just specifies the condition and takes a default output.

To see all trends with an average margin of at least 2 use the PyQL condition: margin > 2.

To see all perfect trends use the PyQL: wins * losses = 0
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Content for this site is generated using the Sports Data Query Language (SDQL).